Review on Source Camera Identification: Digital Image Forensics

Pravee Jain*, Mayank Awasthi **, Madhu Shandilya ***
*,*** Department of Electronics & Communication Engineering, Maulana Azad National Institute of Technology (MANIT), Bhopal, Madhya Pradesh, India.
** Department of Telecommunications, Ministry of Communications, Government of India.
Periodicity:October - December'2020
DOI : https://doi.org/10.26634/jip.7.4.17832

Abstract

In this digital era, multimedia such as images and videos have become one of the principal means of information carrier because of ease in acquisition, distribution and storage. Hence, they are used as a common source of evidence in everyday life controversies and trials. However, the accessibility of this multimedia brings a major drawback. It can be easily edited with a variety of common editing tools like Adobe Photoshop. Therefore, it is easy to modify its content and meaning without leaving any visually detectable traces. In the literature, many instances of tampering or forgery can be found and are very common nowadays. Hence, there is a need to confirm the authenticity of multimedia documents before relying on their content. In response to this, researchers have begun to develop digital multimedia forensic techniques which are capable of identifying multimedia forgeries. Digital multimedia forensics analyses the multimedia by making use of the fact that most of the image and video processing operations leave visually undetectable traces in the altered multimedia content. These undetectable traces are detected to reveal tampering. Researchers have addressed two main problems in digital multimedia forensics. The first one is to identify the device which is used to capture the multimedia by performing some kind of ballistic analysis. The second is to detect the various traces of multimedia forgeries by studying inconsistencies in the multimedia statistics. To address these two main problems, various techniques have been proposed in literature. In this paper, we will discuss the most common steps which are performed in the image acquisition and storage. We will also discuss existing source camera identification tools and techniques including their advantages and drawbacks and the future scope in this field.

Keywords

Source Camera Identification, Sensor Pattern Noise, Photo Response Non-Uniformity, Digital Image Forensics, Fingerprint.

How to Cite this Article?

Jain, P., Awasthi, M., and Shandilya, M. (2020). Review on Source Camera Identification: Digital Image Forensics. i-manager's Journal on Image Processing, 7(4), 23-35. https://doi.org/10.26634/jip.7.4.17832

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